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r2_score — scikit-learn 1.8.0 documentation
1 ], [ - 1 , 1 ], [ 7 , - 6 ]] >>>...cross-validation). Added in version 1.1. Returns : z float or ndarray...scikit-learn.org/stable/modules/generated/sklearn.metrics.r2_score.html -
MeanShift — scikit-learn 1.8.0 documentation
array ([[ 1 , 1 ], [ 2 , 1 ], [ 1 , 0 ], ... [ 4 , 7...clustering . labels_ array([1, 1, 1, 0, 0, 0]) >>> clustering...scikit-learn.org/stable/modules/generated/sklearn.cluster.MeanShift.html -
balanced_accuracy_score — scikit-learn 1....
1 , 0 , 0 , 1 , 0 ] >>> y_pred = [ 0 , 1 , 0 ,...each class. The best value is 1 and the worst value is 0 when...scikit-learn.org/stable/modules/generated/sklearn.metrics.balanced_accuracy_score.html -
dict_learning — scikit-learn 1.8.0 docume...
1 ( U , V ) with || V_k || _2 = 1 for all 0 <=...means 1 unless in a joblib.parallel_backend context. -1 means...scikit-learn.org/stable/modules/generated/sklearn.decomposition.dict_learning.html -
MultiLabelBinarizer — scikit-learn 1.8.0 ...
fit_transform ([( 1 , 2 ), ( 3 ,)]) array([[1, 1, 0], [0, 0, 1]]) >>>...'comedy' }]) array([[0, 1, 1], [1, 0, 0]]) >>> list...scikit-learn.org/stable/modules/generated/sklearn.preprocessing.MultiLabelBinarizer.html -
Plot classification probability — scikit-...
GaussianProcessClass ( kernel = 1.0 * RBF ([ 1.0 , 1.0 ])), "Logistic...LogisticRegression ( C = 0.1 ), "Logistic regression \n (C=1)" : LogisticRegression...scikit-learn.org/stable/auto_examples/classification/plot_classification_probability.html -
DBSCAN — scikit-learn 1.8.0 documentation
1, 1, -1]) >>> clustering...means 1 unless in a joblib.parallel_backend context. -1 means...scikit-learn.org/stable/modules/generated/sklearn.cluster.DBSCAN.html -
DummyClassifier — scikit-learn 1.8.0 docu...
([ - 1 , 1 , 1 , 1 ]) >>> y = np . array ([ 0 , 1 , 1...dummy_clf . predict ( X ) array([1, 1, 1, 1]) >>> dummy_clf...scikit-learn.org/stable/modules/generated/sklearn.dummy.DummyClassifier.html -
QuadraticDiscriminantAnalysis — scikit-le...
([[ - 1 , - 1 ], [ - 2 , - 1 ], [ - 3 , - 2 ], [ 1 , 1 ], [ 2...2 , 1 ], [ 3 , 2 ]]) >>> y = np . array ([ 1 , 1 , 1...scikit-learn.org/stable/modules/generated/sklearn.discriminant_analysis.QuadraticDiscriminantAnal... -
Introducing the set_output API — scikit-l...
798301 -1.271411 -1.327605 12 -1.244466 -0.086944 -1.327407 -1.459074...60 5.0 2.0 3.5 1.0 1 4.9 3.0 1.4 0.2 8 4.4 2.9 1.4 0.2 93 5.0 2.3...scikit-learn.org/stable/auto_examples/miscellaneous/plot_set_output.html